A framework for calculating time-efficient diffusion MRI protocols for anisotropic IVIM and an application in the placenta

Slator, Paddy J. ORCID: https://orcid.org/0000-0001-6967-989X, Hutter, Jana, Ianus, Andrada, Panagiotaki, Eleftheria, Rutherford, Mary A., Hajnal, Joseph V. and Alexander, Daniel C. 2019. A framework for calculating time-efficient diffusion MRI protocols for anisotropic IVIM and an application in the placenta. Presented at: MICCAI 2018, Granada, Spain, 16-20 September 2018. Published in: Bonet-Carne, Elisenda, Grussu, Francesco, Ning, Lipeng, Sepehrband, Farshid and Tax, Chantal M.W. eds. Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain, September 2018. Mathematics and Visualization Springer, Cham, pp. 251-263. 10.1007/978-3-030-05831-9_20

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Abstract

We develop a framework for calculating clinically-viable diffusion MRI (dMRI) protocols for anisotropic IVIM modelling. The proposed multi-stage framework combines previous approaches to dMRI protocol optimisation: first optimising b-values by minimizing Cramer-Rao lower bounds on parameter variances, and subsequently optimising gradient directions jointly to provide maximum angular coverage across all shells. This removes unnecessary measurements of closely spaced b-values with the same gradient directions, which encode very similar information, and hence reduces the total number of dMRI measurements. We applied the framework to establish an organ-specific, data-driven, set of optimised b-values and gradient directions for dMRI of the placenta. The optimised protocol leads to higher contrast-to-noise ratios in parameter maps compared to a naive protocol of comparable scan time. Applying this framework in other organs has the potential to reduce scanning times required for anisotropic IVIM modelling.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Computer Science & Informatics
Publisher:	Springer, Cham
ISBN:	9783030058302
Last Modified:	27 Oct 2023 11:30
URI:	https://orca.cardiff.ac.uk/id/eprint/162482

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